电信行业的客户保留和流失预测:丹麦大学的一个案例研究
1Department of Materials and Production, Aalborg University, 9220 Aalborg East, Denmark.
概括
丹麦电信行业的客户偏好差异很大. 关键的留住因素包括服务质量,满意度,升级和网络覆盖,尤其是学生.
科学领域:
- 电信 电信服务 电信服务 电信服务
- 机器学习 机器学习
- 消费者行为 消费者行为
背景情况:
- 丹麦电信行业面临着一个和的市场,竞争日益激烈.
- 高的客户获取成本需要强烈关注客户保留策略.
研究的目的:
- 确定影响丹麦电信部门客户流失的因素.
- 分析流失驱动器和有效的客户保留策略之间的联系.
主要方法:
- 采用了五种机器学习算法:随机森林,AdaBoost,后勤回归,极端梯度提升和决策树分类器.
- 利用来自丹麦和美国的四个数据集,包括311名大学生的调查数据.
- 通过使用绩效指标和汇总跨数据集的重要因素,确定了影响流失的关键特征.
主要成果:
- 客户偏好和流失驱动因素在不同细分市场中并不统一.
- 服务质量,客户满意度,订阅计划升级和网络覆盖率成为丹麦学生的重要因素.
- 机器学习模型有效地识别了影响流失的关键特征.
结论:
- 在制定保留政策时,电信公司必须考虑北欧消费者的独特社会历史背景.
- 根据不同的消费文化定制战略对于在竞争激烈的市场中有效地保留客户至关重要.
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